... or fluctuations in processes (Ohno, 1988). Given the necessary training and opportunity in place, staff can develop their own visual systems by their own work process needs (Suzaki, 1993; Hirano, 1995 ; Galsworth, 2011). Lean construction Visual management Roads Building Information Modelling Highways...

... Construction industry Forecasting Roads Thailand Artificial Neural Networks (ANN) is a part of artificial intelligence (AI) which is similar to architectural structure and functions like brain cells or the human nerve system, learning from experience and reliably providing answers to complex...

... for delivering highways major maintenance and renewal schemes which is expected to be extended to other HA areas. This paper also helps to identify how this option can be best implemented. Partnerships Construction industry Roads Maintenance England When the Highways Agency (HA) was established...

...A.K. Sharma; Ekta Vohra Purpose This study aims to examine the current status of road infrastructure in India, working out the gap in the availability of required length and the quality of roads besides the comparison with other economies. It also seeks to analyse the socio‐economic‐political...

.... Construction industry Costs Neural nets Regression analysis Roads It is generally accepted that the final costs of complex projects are difficult to predict and subject to variations caused by many different factors (de Neufville, 1990). Some of the factors that affect the completed cost include...

... – especially in the context of developing countries. This paper presents a DT model to address this issue. Using this model, the generic factors and processes related to DT are identified, and the impact of DT is quantified. By applying the model framework to nine road projects in Nepal, the impact of DT...